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Solum Health is seeking a candidate to study therapy practice back offices, map workflows, and turn bottlenecks into automated processes. You will define requirements for engineers, prioritize automation initiatives, and track the impact on performance and accuracy.
The role blends operations leadership with hands-on AI tooling, including working with EHRs and payer portals. Strong problem-solving and project coordination are essential in this growing AI-enabled healthcare space.
The role asks someone to study how therapy practices run their back office, spot where manual work slows things down, and turn those steps into automated workflows. A strong candidate brings operations or implementation experience, comfort with data and project tracking, and the ability to translate messy processes into clear requirements for engineers. Healthcare back office knowledge in billing, intake, or prior authorization helps a lot.
Much of the repetitive payer and intake work here is exactly what AI can take over, so the job is largely about deciding what the AI handles and where a person still needs to step in. The human side stays in mapping real workflows, judging quality, and keeping handoffs between teams smooth. Success depends on making each automated step faster and more accurate than the manual version.
Working here means hands on use of AI coding and automation tools to build internal tools and workflows, plus learning how AI agents operate inside EHRs and payer portals. That builds practical skill in turning operational problems into working automations and measuring their results. A candidate can prepare by building small automations or internal tools and getting them used by real people.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
Solum Health sells Annie, an AI assistant that handles front-office work for therapy and specialty practices, per the company.